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SYLLABUS
Multiple Regression and Time Series Analysis , 7,5 ECTS Credits
 
COURSE CATEGORY   Politices kandidatprogram
MAIN FIELD OF STUDY   Statistics - STA
SUBJECT AREA  
  COURSE CODE   732G05
AIM OF THE COURSE
The aim of the course is that the student should acquire an overview of linear relationships in regression analysis and descriptive time series analysis.

On completion of the course, the student should
- be able to use knowledge of the most common statistic inference methods in regression and time series analysis,
- have the ability to determine the model that is relevant to the data,
- in a knowledgeable way be able to assess the quality of data and interpret the results of the analyses.
CONTENTS
The following is studied in the course
- simple and multiple linear regression,
- index theory and demand analysis,
- Descriptive time series analysis with decomposition and forecasting.

Standard programs for regression and time series analysis are used in the course.
TEACHING
Lectures, teaching sessions, individual and joint supervision, seminars, computer exercises and project work.
Language of instruction: Swedish.

EXAMINATION
The course is examined through written examination and presentation of a project work.

Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.
ADMISSION REQUIREMENTS

Completed Introductory Statistics, basic course, 7.5 HE credits (or the equivalent).
GRADING
A grade of Pass with Credit, Pass or Fail is given for the course
CERTIFICATE
Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.
COURSE LITERATURE
The course literature is decided upon by the department in question.
OTHER INFORMATION
Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.
 
Multiple Regression and Time Series Analysis
Regressions- och tidsserieanalys
 
Department responsible
for the course or equivalent:
IDA - Department of Computer and Information Science
           
Registrar No: 977/06-41   Course Code: 732G05      
    Exam codes: see Local Computer System      
Subject/Subject Area : Statistics - STA          
           
Level   Education level     Subject Area Code   Field of Education  
G1X   Basic level     STA   SA  
The syllabus was approved by the Board of Faculty of Arts and Science 2007-01-22